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» Learning to cluster web search results
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ESWS
2007
Springer
13 years 9 months ago
SWHi System Description: A Case Study in Information Retrieval, Inference, and Visualization in the Semantic Web
Abstract. Search engines have become the most popular tools for finding information on the Internet. A real-world Semantic Web application can benefit from this by combining its ...
Ismail Fahmi, Junte Zhang, Henk Ellermann, Gosse B...
EMNLP
2010
13 years 5 months ago
Learning Recurrent Event Queries for Web Search
Recurrent event queries (REQ) constitute a special class of search queries occurring at regular, predictable time intervals. The freshness of documents ranked for such queries is ...
Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kol...
CLEF
2010
Springer
13 years 8 months ago
TALP at WePS-3 2010
In this paper we present our system and experiments at the Third Web People Search Workshop (WePS-3) task for clustering web people search documents in English. In our experiments ...
Daniel Ferrés, Horacio Rodríguez
NIPS
2007
13 years 9 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
CVPR
2009
IEEE
15 years 2 months ago
Boosted Multi-Task Learning for Face Verification With Applications to Web Image and Video Search
Face verification has many potential applications including filtering and ranking image/video search results on celebrities. Since these images/videos are taken under uncontrolle...
Xiaogang Wang (MIT), Cha Zhang (Microsoft Research...